Household Socioeconomic Status Research Articles

The Intersection of a Child’s Demographics and Household Socioeconomic Status in the Multimorbidity of Malaria, Anaemia, and Malnutrition among Children Aged 6–59 Months in Nigeria

Multimorbidity of malaria, anemia, and malnutrition (MAMM) is a condition in which an individual has two or more of these health conditions, and is becoming an emergent public health concern in sub-Saharan African countries. The independent associations of a child’s demographic variables and household socioeconomic (HSE) disparities with a child’s health outcomes have been established in the literature. However, the effects of the intersection of these factors on MAMM, while accounting for other covariates, have not been studied. Therefore, this study aimed to determine how children’s sex, age, and household socioeconomic status interact to explain the variations in MAMM among children aged 6–59 months in Nigeria. Data from the 2018 Nigeria Demographic and Health Survey and the 2018 National Human Development Report (NHDR) were used. This study included weighted samples of 10,184 children aged 6–59 months in Nigeria. A three-level multilevel mixed effect ordinal logistic regression model was used, such that individual characteristics at level 1 were nested in communities at level 2 and nested in states at level 3. Subsequently, predictive probability charts and average adjusted probability tables were used to interpret the intersectional effects. Five models were created in this scenario. Model 1 is the interaction between the child’s sex and household wealth status; model 2 is the interaction between the child’s sex and age; model 3 is the interaction between the child’s age and household wealth status; model 4 has the three two-way interactions of the child’s sex, age, and household wealth status; and model 5 includes model 4 and the three-way interactions between a child’s sex, age, and household wealth quintiles; while accounting for other covariates in each of the models. The prevalence of children with a ‘none of the three diseases’ outcome was 17.3% (1767/10,184), while 34.4% (3499/10,184) had ‘only one of the diseases’, and 48.3% (4918/10,184) had ‘two or more’ MAMMs. However, in the multivariate analyses, model 3 was the best fit compared with other models, so the two-way interaction effects of a child’s age and household wealth status are significant predictors in the model. Children aged 36–47 months living in the poorest households had a probability of 0.11, 0.18, and 0.32 of existing with MAMM above the probability of children of the same age who live in the middle class, more prosperous, and richest households, respectively, while all other covariates were held constant. Thus, the variation in the prevalence of MAMM in children of different ages differs depending on the household wealth quintile. In other words, in older children, the variations in MAMM become more evident between the richer and the poorer household quintiles. Therefore, it is recommended that policies that are geared toward economic redistribution will help bridge the disparities observed in the prevalence of multiple diseases among children aged 6–59 months in Nigeria.

How did we protect children against COVID-19 in Iran? Prevalence of COVID-19 and vaccination in the socio-economic context of COVID-19 epidemic.

The COVID-19 pandemic posed significant risks to children worldwide. This study aimed to assess the COVID-19 protection status of children and explored the relationship between household socio-economic status and COVID-19 morbidity and preventive measures, including vaccination and mask-wearing, in two cities in Iran. A population-based cross-sectional study was conducted from July to October 2022 among 7 to 18-year-old children and their families in Tehran and Karaj. A total of 3,022 samples were selected using stratified multistage cluster sampling. Data were collected through interviews with children and adults, using questionnaires and was analyzed with Stata software version 14. The analysis focused on 2,878 children with a median age of 12. Over half (54%) reported that the pandemic negatively affected their family's financial status, with 45% describing its impact on children's needs as negative or very negative. Just under 50% of respondents consistently wore masks during the study period, and around 54% had received at least one dose of the COVID-19 vaccine. Reasons for not getting vaccinated included concerns about side effects, ineligibility for the target age group, and overcrowding at vaccination sites. The odds of not getting vaccinated were significantly lower for children aged 15-18, with boys more likely to refuse vaccination than girls. The financial impact of the pandemic in Iran affected families' ability to meet their children's needs. Moreover, low vaccination acceptance rates increased children's vulnerability to health problems and contributed to COVID-19 infections. Efforts should be made to increase vaccination acceptance, particularly among immigrant populations.

Associations of prenatal stress with 5-year-old children's executive function in a low socioeconomic status population.

Prenatal stress has a significant, but small, negative effect on children's executive function (EF) in middle and high socioeconomic status (SES) households. Importantly, rates and severity of prenatal stress are higher and protective factors are reduced in lower SES households, suggesting prenatal stress may be particularly detrimental for children's EF in this population. This study examined whether prenatal stress was linked to 5-year-old's EF in a predominantly low SES sample and child sex moderated this association, as males may be more vulnerable to adverse prenatal experiences. Participants were 132 mother-child dyads drawn from a prospective prenatal cohort. Mothers reported on their depression symptoms, trait anxiety, perceived stress, everyday discrimination, and sleep quality at enrollment and once each trimester, to form a composite prenatal stress measure. Children's EF was assessed at age 5 years using the parent-report Behavior Rating Inventory of Executive Function - Preschool (BRIEF-P) Global Executive Composite subscale and neuropsychological tasks completed by the children. Mixed models revealed higher prenatal stress was associated with lower BRIEF-P scores, indicating better EF, for females only. Higher prenatal stress was associated with lower performance on neuropsychological EF measures for both males and females. Results add to the limited evidence about prenatal stress effects on children's EF in low SES households.

Drivers of Urban Agriculture and their Influence on the Socio-Economic Status of the Urban Farmers in Uganda, A Case Study of Kampala and Mbarara Cities

The study analyzed the influence of forms and drivers of urban Agriculture on the socio-economic status of the farmers in Kampala and Mbarara Cities. The specific objective of the study was to examine the influence drivers of urban agriculture on the socio-economic status of farmers. The study adopted a cross-sectional research design using multiple data collection methods. A multistage cluster sampling technique involving simple random sampling to get both primary and secondary sampling units, snowball to get target respondents and purposive sampling for key informants and focus group members was used. Data were collected using social survey questionnaires for households, focus group discussions checklist (FGDs), key informant interview guides and observations, from a sample of 384 respondents. The study found a strong association between drivers of UA and the socioeconomic status of the urban farmers in Kampala and Mbarara Cities. Household socio-economic status has substantially correlated with the drivers of the urban farmers and out of 9 items considered only 5 was significant which include access to capital (x2 = 1.175, p< 0.047), access to agriculture extension services (x2 = 3.634, p< 0.026), access to financial grants (x2 = 5.190, p<0.001), access to markets (x2 = 6.993, p< 0.001), value addition(x2 = 3.718, p<0.014). The study confirmed a significant relationship between drivers of urban agriculture and the socio-economic status of urban farmers. Urban agriculture drivers like access to capital and financial grants, nature of market access and value addition had a significant influence on household socio-economic status.

Multivariate mixed-effects ordinal logistic regression models with difference-in-differences estimator of the impact of WORTH Yetu on household hunger and socioeconomic status among OVC caregivers in Tanzania.

Although most of the livelihood programmes target women, those that involve women and men have been evaluated as though men and women were a single homogenous population, with a mere inclusion of gender as an explanatory variable. This study evaluated the impact of WORTH Yetu (an economic empowerment intervention to improve livelihood outcomes) on household hunger, and household socioeconomic status (SES) among caregivers (both women and men) of orphaned and vulnerable children (OVC) in Tanzania. The study hypothesized that women and men respond to livelihood interventions differently, hence a need for gender-disaggregated impact evaluation of such interventions. This is a secondary analysis of longitudinal data, involving caregivers' baseline (2016-2019) and follow-up (2019-2020) data from the USAID Kizazi Kipya project in 25 regions of Tanzania. Two dependent variables (ie, outcomes) were assessed; household hunger which was measured using the Household Hunger Scale (HHS), and Socioeconomic Status (SES) using the Principal Component Analysis (PCA). WORTH Yetu, a livelihood intervention implemented by the USAID Kizazi Kipya project was the main independent variable whose impact on the two outcomes was evaluated using multivariate analysis with a multilevel mixed-effects, ordinal logistic regression model with difference-in-differences (DiD) estimator for impact estimation. The analysis was based on 497,293 observations from 249,655 caregivers of OVC at baseline, and 247,638 of them at the follow-up survey. In both surveys, 70% were women and 30% were men. Their mean age was 49.3 (±14.5) years at baseline and 52.7 (±14.8) years at the follow-up survey. Caregivers' membership in WORTH Yetu was 10.1% at the follow-up. After adjusting for important confounders there was a significant decline in the severity of household hunger by 46.4% among WORTH Yetu members at the follow-up compared to the situation at the baseline (adjusted Odds Ratio (aOR) = 0.536, 95% Confidence Interval (CI) [0.521, 0.553]). The decline was 45.7% among women (aOR = 0.543 [0.524, 0.563]) and 47.5% among men (aOR = 0.525 [0.497, 0.556]). Regarding SES, WORTH Yetu members were 15.9% more likely to be in higher wealth quintiles at the follow-up compared to the situation at the baseline (aOR = 1.159 [1.128, 1.190]). This impact was 20.8% among women (aOR = 1.208 [1.170, 1.247]) and 4.6% among men (aOR = 1.046 [0.995, 1.101]). WORTH Yetu was associated with a significant reduction in household hunger, and a significant increase in household SES among OVC caregivers in Tanzania within an average follow-up period of 1.6 years. The estimated impacts differed significantly by gender, suggesting that women and men responded to the WORTH Yetu intervention differently. This implied that the design, delivery, and evaluation of such programmes should happen in a gender responsive manner, recognising that women and men are not the same with respect to the programmes.

Binge drinking associated with mean temperature: a cross-sectional study among Mexican adults living in cities

BackgroundThe association between environmental temperature and alcohol consumption has not been widely explored despite the potential that increasing temperatures could promote the consumption of alcoholic beverages and the alcohol-related burden of disease. We aimed to explore the association between temperature and binge drinking in Mexican adults from urban cities, overall, and by alcoholic beverage type.MethodsData on 10,552 adults ≥ 18 years was obtained from the 2016 National Survey on Drug, Alcohol, and Tobacco Consumption. The mean annual temperature at the municipality was obtained from the Mexican National Weather Service using monthly temperatures from 2015 to 2016. We analyzed binge drinking for all alcoholic beverages in the last year and by type of alcohol as beer, liquor, wine, and coolers. Associations between mean temperature over the past year and binge drinking over the past year among current drinkers were estimated using multilevel Poisson models with robust standard errors adjusted for age, sex, education level, marital status, and household socioeconomic status, with a fixed effect by region.ResultsWe observed a non-significant increase in the prevalence of binge drinking for every difference of 1 °C between municipalities of the same region. By alcohol type, a 1 °C increase in mean annual temperature across municipalities of the same region increased the prevalence of beer binge drinking in the past year by 0.9% (PR = 1.009, 95%CI 1.005, 1.013) among beer consumers and the prevalence of coolers’ binge drinking by 3.0% (PR = 1.030, 95%CI 1.003, 1.057) in coolers consumers. We observed non-significant results for liquor binge drinking (PR = 1.047, 95%CI 0.994, 1.102) and wine binge drinking (PR = 1.047, 95% 0.944, 1.161).ConclusionPeople living in municipalities with higher temperatures reported a higher beer binge drinking in Mexican cities. This could account for 196,000 cases of beer binge drinking in 2016. The context of each country needs to be considered when generalizing these findings, and they need to be further explored with longitudinal data as there might be implications for climate change. If our findings are confirmed given the forecasted rising temperatures, we could expect an increase in binge drinking and therefore, in the alcohol burden of disease.

Low birth weight, household socio-economic status, water and sanitation are associated with stunting and wasting among children aged 6-23 months: Results from a national survey in Ghana.

Stunting and wasting are key public health problems in Ghana that are significantly linked with mortality and morbidity risk among children. However, information on their associated factors using nationally representative data is scanty in Ghana. This study investigated the influence of Infant and Young Child Feeding (IYCF) indicators, socio-demographic and economic related factors, and water and sanitation on stunting and wasting, using nationally representative data in Ghana. This is a secondary data analysis of the most recent (2017/2018) Ghana Multi-Indicator Cluster Survey (MICS) datasets. The multi-indicator cluster survey is a national cross-sectional household survey with rich data on women of reproductive age and children under the age of five. The survey used a two-stage sampling method in the selection of respondents and a computer-assisted personal interviewing technique to administer structured questionnaires from October 2017 to January 2018. The present study involved 2529 mother-child pairs, with their children aged 6 to 23 months. We used the Complex Sample procedures in SPSS, adjusting for clustering and stratification effects. In a bivariate logistic regression, variables with P-values ≤ 0.05 were included in a backward multivariate logistic regression to identify the significant factors associated with stunting and wasting. The mean age of children was 14.32 ± 0.14 months, with slightly more being males (50.4%). About 12% and 16% of the children were wasted and stunted, respectively. There were 39.4%, 25.9%, and 13.7% of children who, respectively, satisfied the minimum meal frequency (MMF), minimum dietary diversity (MDD), and minimum acceptable diet (MAD). None of the IYCF indicators was significantly associated with stunting or wasting in the multivariate analysis but low socio-economic status, low birth weight, being a male child and unimproved toilet facilities were significantly associated with both wasting and stunting. Our findings suggest that aside from the pre-natal period, in certain contexts, household factors such as low socio-economic status and poor water and sanitation, may be stronger predictors of undernutrition. A combination of nutrition-specific and nutrition-sensitive interventions including the pre-natal period to simultaneously address the multiple determinants of undernutrition need strengthening.

Regional Variation in the Prevalence of Undernutrition and its Correlates Among Under Five-Year Children in North India.

Undernutrition is an important public health problem affecting one-third of under five-year-old children in India. To assess the nutritional status of under five-year-old children along with child feeding practices. We adopted a systematic sampling procedure to carry out this community-based, cross-sectional study in all the districts of Haryana. Data was collected on socioeconomic and demographic particulars along with anthropometric measurements. Analysis was done using SPSS Windows 23. The overall prevalence of stunting, underweight, and wasting was 34%, 27.5%, and 11%, while that of severe undernutrition was 11%, 8%, and 3%, respectively. The odds of underweight were significantly higher among children of the Muslim religion, children of scheduled caste, children of illiterate mothers, lower per capita income, HHs without electricity, landless HHs, low birth weight, no ANC care, and those early ages at complementary feeding. Stunting was significantly higher among children whose mothers were illiterate, children whose fathers were laborers, among landless HHs, with no separate kitchen and lower birth weight, while wasting was higher among children of Muslim religion, children of scheduled caste, with no sanitary latrine facility, low-birth-weight children and early initiation of complementary feeding. Undernutrition is observed to be associated with religion, community, education of mother, per capita income, land holding status, birth weight, and age at complementary feeding. Thus, improving maternal nutrition can improve birth weight, improving maternal knowledge about child feeding, and the household's socio-economic status may improve the nutritional status of children.

Social inequality in the association between life transitions into adulthood and depressed mood: a 27-year longitudinal study.

Few studies have considered the life-course development of depressive symptoms in relation to life transitions in early-adulthood and whether these might affect depressive trajectories differently depending on specific indicators of parental socioeconomic status (SES). In the present work, we explore these questions using the adolescent pathway model as a guiding framework to test socially differential exposure, tracking and vulnerability of the effects of life transitions on depressed mood across different socioeconomic backgrounds. Latent growth modeling was used to estimate the associations between indicators of parental SES (parental education and household income) and depressed mood from age 13 to 40 with life transitions (leaving the parental home, leaving the educational system, beginning cohabitation, attaining employment) as pathways between the two. Our analyses were based on a 27-year longitudinal dataset (n = 1242) of a Norwegian cohort with 10 time points in total. To make socioeconomic comparisons, three groups (low, mid, and high) were made for parental education and income respectively. Depressed mood decreased from age 13 to 40. The low and high parental education groups showed a stable difference in depressed mood during early adolescence, which decreased in young adulthood and then increased slightly in mid-adulthood. The low household income group showed higher depressed mood across young adulthood compared to the medium and higher household income groups. For life transitions, leaving the parental home and beginning cohabitation was associated with an added downturn of the trajectory of depressed mood when adjusting for other transitions. However, adolescents with high parental education showed a relatively stronger decrease in depressed mood when leaving the parental home. Similarly, adolescents with a high household income showed a relatively stronger decrease in depressed mood when leaving the educational system. Depressed mood decreased over time and developed differently depending on parental education and household income. Life transitions were generally associated with reductions in depressed mood across time, but lower SES youths were not found to be more socially vulnerable these effects.

Correlates of early child development among children with stunting: A cross-sectional study in Uganda.

Many children in low- and middle-income countries are not attaining their developmental potential. Stunting is associated with poor child development, but it is not known which correlates of stunting are impairing child development. We explored potential socioeconomic, nutritional, clinical, and household correlates of early child development among 12-59-month-old children with stunting in a cross-sectional study in Uganda. Development was assessed using the Malawi Development Assessment Tool (MDAT) across four domains of gross and fine motor, language, and social skills. Linear regression analysis was used to assess correlates of development in the four domains and total MDAT score. Of 750 children included, the median [interquartile range] age was 30 [23-41] months, 55% of the children resided in rural settings with 21% from female-headed households and 47% of mothers had no schooling. The mean ± standard deviation height-for-age z-score (HAZ) was -3.02 ± 0.74, 40% of the children had a positive malaria test and 65% were anaemic (haemoglobin < 110 g/L). One-third had children's books at home, majority (96%) used household objects to play with and most of them (70%) used toys as pretence items like those to mimic cooking. After age, sex, and site adjustments, HAZ (0.24, 95% confidence interval [CI]: 0.14-0.33) and head circumference (0.07, 95%CI: 0.02-0.12) were positive correlates of total MDAT score, whereas weight-for-height z-score (WHZ) was not. Current breastfeeding was associated with 0.41 (95%CI: 0.17-0.65) lower total MDAT score. Children from households with a single income earner had 0.22 (95%CI: 0.06-0.37) lower total MDAT score. Furthermore, severe food insecurity, inflammation and positive malaria test were associated with lower scores for motor development. All family care indicator subscales (FCIs) positively correlated with the total MDAT score and this association was independent of household's socioeconomic status. In conclusion, stunting degree, head circumference, number of household income earners and stimulation by improved FCIs correlate with early child development among stunted children. The negative association with prolonged breastfeeding is likely due to reverse causality. Identified correlates may inform initiatives to support children with stunting attain their development potential.

Socioeconomic shocks, social protection and household food security amidst COVID-19 pandemic in Africa's largest economy.

Africa has been known to experience series of problems among which are poverty, food insecurity, lack of access to energy, lack of infrastructure among others. These problems were exacerbated by the COVID-19 pandemic, which has had a severe impact on the socioeconomic status of households in Africa. This paper examines the relationship between socioeconomic shocks, social protection, and household food security during the pandemic in Nigeria, the Africa's largest economy. Using the World Bank's COVID-19 national longitudinal baseline phone survey (2020) for the analysis and applied the multinomial logit regression, the study finds that socioeconomic shocks resulting from the pandemic have led to an increased level of food insecurity. Social protection programmes have played a crucial role in mitigating the impact of these shocks on households. However, the study also highlights the need for more targeted and effective social protection policies to ensure that vulnerable households are adequately protected from the adverse effects of the pandemic. The findings of this study have important implications for policymakers and stakeholders in Africa's largest economy, as they seek to address the challenges posed by the pandemic and promote household food security for the actualisation the United Nations (UN) Sustainable Development Goal (SDG) of food and nutrition security (SDG2). The study, therefore, recommends that efforts be made to preserve food supply chains by mitigating the pandemic's effect on food systems, increasing food production, and looking forward beyond the pandemic by building resilient food systems with the use of social protection interventions.

Snakebite prevalence and risk factors in a nomadic population in Samburu County, Kenya: A community-based survey.

Snakebite is an important public health concern, especially in tropical areas, but the true burden remains unclear due to sub-optimal reporting and over-reliance on health facility-based data. A community-based cross-sectional survey was conducted in Samburu County, Kenya from December 2019 to March 2020. Geospatial techniques were used to create a sampling frame of all households in Samburu County and a multistage cluster sampling strategy to select households and recruit study participants. Five year prevalence and mortality rates were estimated, the characteristics and circumstances of snakebite were described, and multilevel logistic regression models were built to identify independent risk factors for snakebite. We recruited 3,610 individuals living in 875 households from 30 clusters. The 5-year prevalence of snakebite was 2.2% (95% CI 1.4%-3.4%), and the 5-year mortality rate was 138 (95% CI 44-322) deaths per 100,000 inhabitants, resulting in an estimated 1,406 snakebites and 88 deaths from snakebites per year in Samburu County. Snakebite incidents often occurred at night between 9pm and 6 am (44%, n = 36), and the participants were mostly walking/playing outdoors (51%, n = 41) or sleeping (32%, n = 27) when they were bitten. Lower household socioeconomic status and smaller numbers of people per house were significant independent risk factors. Samburu County has a high snakebite burden and the most victims are bitten while sleeping or walking outdoors at night. Snakebite prevention and health promotion programs in Samburu County, and other endemic regions, need to be contextualised and consider the geographic, seasonal, and temporal specificities found in our study. Our findings also have implications for health care delivery, especially identification of the need for night-time staffing with expertise in snakebite management and antivenom availability to better manage patients and thereby improve outcomes.

Multilevel negative binomial analysis of factors associated with numbers of antenatal care contacts in low and middle income countries: Findings from 59 nationally representative datasets.

Antenatal care (ANC) is one of the recommended interventions to reduce stillbirth, maternal, neonatal, and child mortality through early identification and management of pregnancy complications or pre-existing conditions. Although increasing number of ANC is a key priority of the 2016 WHO recommendations, ANC uptake in Low and Middle Income Countries (LMICs) is insufficient. Therefore, this study aimed to investigate factors associated with the number of ANC contacts in LMICs. Data for the study were drawn from 59 recent Demographic and Health Surveys (DHS) conducted in LMICS. We included a total sample of 520,377 mothers who gave birth in the five years preceding the survey. A multilevel negative binomial regression model was applied to identify factors that may affect number of ANC. Adjusted incidence rate ratios (AIRR) with 95% Confidence Interval (CI) were reported to show association. This study found that mothers and their partner with higher educational attainment, mothers aged >35 years, mothers who had decision making autonomy, mothers from female headed household, mothers from richer and richest household, mothers exposed to media, and residing in urban areas had significantly more ANC contacts. However, number of ANC contacts were significantly lower among mothers who initiated ANC after 12 weeks of gestation and perceived healthcare access to be a big problem. Our results suggest that individual, household, and community-level factors were associated with number of ANC contacts among pregnant mothers in LMICs. Hence, local and international policymakers, and programmers should focus on improving community awareness about maternal health care services through mass media and outreach programs with especial emphasis on women's and their partners educational attainment, rural mothers, women's empowerment, and household socioeconomic status.

How do household living conditions and gender-related decision-making influence child stunting in Rwanda? A population-based study.

Child stunting (chronic undernutrition) is a major public health concern in low- and middle-income countries. In Rwanda, an estimated 33% of children are affected. This study investigated the household living conditions and the impact of gender-related decision-making on child stunting. The findings contribute to ongoing discussion on this critical public health issue. In December 2021, a population-based cross-sectional study was conducted in Rwanda's Northern Province; 601 women with children aged 1-36 months were included. Stunting was assessed using low height-for-age criteria. The Multidimensional Poverty Index (MPI) was used to determine household socioeconomic status. Researcher-designed questionnaires evaluated gender-related factors such as social support and household decision-making. Multivariable logistic regression analysis identified risk factor patterns. Six hundred and one children were included in the study; 27.1% (n = 163) were diagnosed as stunted; there was a higher prevalence of stunting in boys (60.1%) than girls (39.9%; p<0.001). The MPI was 0.265 with no significant difference between households with stunted children (MPI, 0.263; 95% confidence interval [CI], 0.216-0.310) and non-stunted children (MPI, 0.265; 95% CI, 0.237-0.293). Most households reported a lack of adequate housing (78.9%), electricity (63.0%), good water sources (58.7%), and proper toilets (57.1%). Male-headed households dominated (92% vs. 8.0%; p = 0.018), and women often shared decision-making with their partners. However, 26.4% of women reported forced sexual intercourse within marriage (Odds Ratio [OR] 1.81; 95% CI, 1.15-2.85). Lack of support during illness ([OR], 1.93; 95% CI, 1.13-3.28) and absence of personal guidance (OR, 2.44; 95% CI, 1.41-4.26) were significantly associated with child stunting. Poverty contributes to child stunting in the Northern Province of Rwanda. Limited social support and women's lack of decision-making power in the household increase stunting rates. Interventions should empower women and address the broader social and economic context to promote both women's and children's health.

Place of Residence Is Associated with Dietary Intake and BMI-SDS in Children and Adolescents: Findings from the DONALD Cohort Study.

We aimed to determine whether place of residence in the German urban food environment is associated with habitual dietary intake (energy, macronutrients, and food groups) and body mass index (standard deviation score of BMI and BMI-SDS). Our hypothesis was that place of residence may explain some variation in dietary intake and nutritional outcomes. For the cross-sectional analyses of DONALD study data, we grouped participants according to their geocoded residence in the north or south of Dortmund. We applied robust multi-level mixed effects regression models using residence as a predictor and (1) BMI-SDS or (2) dietary data (daily intake of energy (kcal), macronutrients (energy percentage), or food groups (g/1000 kcal)) as the outcome. Models were adjusted for age, sex, and household socio-economic status. An analysis was carried out on 1267 anthropometric measurements collected annually from 360 participants aged 6-18 years (935 3-day weighed dietary records from 292 participants) between 2014 and 2019. In the fully adjusted models, residence in the south was associated with a lower BMI-SDS (β = -0.42, p = 0.02), lower intake of sugar-sweetened beverages (β = -47.00, p = 0.04), and higher intake of vegetables (β = 11.13, p = 0.04). Findings suggest that the place of residence, beyond individuals' socio-economic statuses, may be a contributing factor to dietary quality.

Patterns and Determinants of Income Diversification among Farm Households in the Northeast of Thailand

The objectives of this research were (i) to investigate the pattern of income diversification of farm households, (ii) to assess the level of income diversification among farm households using the Simpson index of diversification (SID), and (iii) to study the determinants of income diversification among farm households in the Northeast of Thailand. This research employed secondary data from the 2021 Household Socio-Economic Survey collected by the National Statistical Office, Thailand. The household samples selected in this research included farm households in the Northeast of Thailand according to the household socio-economic status classification of the National Statistical Office. Data were analysed for frequency, percentage, mean, standard deviation, and Tobit regression analysis. The finding revealed that the calculated share of non-farm income was slightly higher than that of farm income. Considering the level of income diversification using SID, the finding indicated that 49.99% of farm household samples had a medium level of income diversification, followed by the high and low levels at 25.71% and 24.30%, respectively. The highest proportion of economic activities that farm households participated in was ‘planting and forestry’ and 'other non-employment’, accounting for 95.91% and 95.17%, respectively. The Tobit regression analysis revealed that the age of the household head, the household size, household members migrating for domestic work and overseas work, and the amount of debt in the informal sector significantly and positively influenced income diversification among farm households in the Northeast of Thailand. In contrast, annual household income per capita and land size significantly and negatively affected household income diversification among farm households. However, the sex of the household head, the education level of the household head, the household dependency ratio, the amount of debt in the formal sector, access to credit, and the location of the household had no significant effect on income diversification among farm households in the Northeast of Thailand.

Armed Conflicts and Household Socioeconomic Status in the Lake Chad Basin: A Random Coefficient Model Approach

Abstract This study extends the existing literature on the relationship between armed conflicts and the socioeconomic status of households in Lake Chad Basin (LCB) countries by adopting a random coefficient model to analyse micro-panel data covering the 1997–2020 periods. The random coefficient approach allows for country-specific effects in explaining variations in both the nature and degree of the effects of conflict due to differing country characteristics. The result evidenced a significant negative effect of the average impact of armed conflict on poverty, while the coefficient of educational outcome is insignificant. The country-specific results point to significant inter-country variations in the impact of armed conflicts on poverty and education outcomes. The descriptive statistics result shows that the inter-country variations could be attributed to differing quality of institutions. Finally, environmental degradation and macroeconomic uncertainties do not appear to bear a systematic relationship with householdsʼ level of socioeconomic status in the Lake Chad Basin. These findings indicate that a uniform and blanket adoption of public policies by government in Lake Chad Basin countries will not yield a significant positive result. Therefore, governments, practitioners and academicians should contextualise policies/recommendations meant to improve socioeconomic status of households in conflict, while strengthening the quality of institutions to ameliorate the impact of conflict on socioeconomic status (SES) of households.

Interaction of Human Behavioral Factors Shapes the Transmission of Arboviruses by Aedes and Culex Mosquitoes.

Arboviruses, i.e., viruses transmitted by blood-sucking arthropods, trigger significant global epidemics. Over the past 20 years, the frequency of the (re-)emergence of these pathogens, particularly those transmitted by Aedes and Culex mosquitoes, has dramatically increased. Therefore, understanding how human behavior is modulating population exposure to these viruses is of particular importance. This synthesis explores human behavioral factors driving human exposure to arboviruses, focusing on household surroundings, socio-economic status, human activities, and demographic factors. Household surroundings, such as the lack of water access, greatly influence the risk of arbovirus exposure by promoting mosquito breeding in stagnant water bodies. Socio-economic status, such as low income or low education, is correlated to an increased incidence of arboviral infections and exposure. Human activities, particularly those practiced outdoors, as well as geographical proximity to livestock rearing or crop cultivation, inadvertently provide favorable breeding environments for mosquito species, escalating the risk of virus exposure. However, the effects of demographic factors like age and gender can vary widely through space and time. While climate and environmental factors crucially impact vector development and viral replication, household surroundings, socio-economic status, human activities, and demographic factors are key drivers of arbovirus exposure. This article highlights that human behavior creates a complex interplay of factors influencing the risk of mosquito-borne virus exposure, operating at different temporal and spatial scales. To increase awareness among human populations, we must improve our understanding of these complex factors.

The Impact of Socio-Economic Determinants of Health on PedsQL and Pain Outcomes Among Individuals with Sickle Cell Disease

Background: Pain in sickle cell disease (SCD) is the most visible symptom in patients. Many recent studies have shown that socio-economic status such as low income, educational achievement or even less affluent neighborhoods may contribute to the pain experience, with those of lower socioeconomic status (SES) reporting both acute and chronic pain more frequently. Furthermore, living in a less affluent area was associated with frequent use of analgesics after adjustment for pain intensity. The relationships between SES variables, pain-related anxiety, frequency of vaso-occlusive crises and/or acute care utilization have been explored; nevertheless, the relationship between SES and quality of life pain-related measures (pain hurt, pain interference, etc.) has yet to be reported. Methods: The St. Jude Children's Research Hospital Sickle Cell Clinical Research and Intervention Program (SCCRIP) is an observation cohort study of clinical outcomes in patients with SCD. Patients enrolled in SCCRIP were retrospectively evaluated based on various SES measurements. Household SES was evaluated using the Barratt Simplified Measure of Social Status (BSMSS), a composite index of parent education and occupation. The Social Vulnerability Index (SVI) was used to classify individuals based on social vulnerabilities at the neighborhood level. The area deprivation index (ADI) ranks neighborhood in a region of interest based on social risk factors that may predispose individuals to worse clinical outcomes Quality of life measures, Pain Hurt, Pain Impact, and Pain Management/Control, were extracted from the PedsQL SCD Module. High scores on the SVI and ADI are associated with low SES and high scores on the PedsQL indicate better SCD related quality of life (QoL) with lower burden and impact of pain on function. Multivariate linear regression models were used to evaluate the associations of SES with QoL pain-related outcomes, based on a stepwise model selection strategy, with potential covariates including age, gender, disease-modifying therapy (e.g., Hydroxyurea and chronic transfusions), hemoglobin, hemoglobin F (HbF)%, and each SES variable. Results: 944 patients between the ages of 5-61 (Mean=13.75, Standard Deviation=7.57) years diagnosed with SCD completed PedsQL testing and were assessed for SVI and ADI. Multivariate models demonstrated that patients with lower SVI (i.e., higher neighborhood SES) at the neighborhood level displayed higher scores with regards to Pain Hurt (est=-7.44, standard error (SE)=2.84, p=0.01), Pain Impact (est=-9.56, SE=3.18, p=0.003) and Pain Management/Control (est=-9.35, SE=3.81, p=0.01). Similar relationships were observed for patients with lower ADI. Additionally, there was a significant association between pain impact and BSMSS (est=0.20, SE=0.10, p=0.04), suggesting that individuals with higher BSMSS (higher household SES) also had higher pain impact scores (better quality of life). Conclusions: This study demonstrated that neighborhood and household SES have an impact on pain experience in youth with SCD. Patients with increased social vulnerability and area deprivation experienced lower health-related quality of life-related to SCD pain. Increased household SES was associated with greater SCD pain impact independent of the effects of patient age, gender, SCD therapy, and HbF. Our study suggests that social determinants of health, such as SES, play a role in pain experience and QOL related to SCD pain and should be explored further.

Correlations among the maternal healthcare services in Bangladesh: An application of joint modelling technique

BackgroundCaesarean section (C-section) in Bangladesh have received great attention as the number has been amplified during the last two decades. The question arises whether this rise has a correlation with other maternal healthcare services and/or has been influenced by their predictors. ObjectiveThe main objectives of this study are to assess correlations among the maternal healthcare indicators—antenatal care use, childbirth in private facilities, and childbirth through C-section—and identify their associated predictors in Bangladesh through the development of an appropriate cluster-adjusted joint model that accounts for inter-correlation among the indicators in the same cluster. DesignThe 2019 Bangladesh Multiple Indicator Cluster Survey data have been utilized in this study. Separate generalized linear mixed models developed for the three outcome variables are combined into a joint model by letting cluster-specific random effects be in association. FindingsThe joint model shows that the number of antenatal cares is fairly positively correlated with delivery in private facilities and C-section, while the latter two are strongly positively correlated. Household socio-economic condition, women and their partners' education, women's exposure to mass media, place of residence, religion, and regional settings have significant influence on the joint likelihood of receiving antenatal care, choosing a private health facility for birth, and opting for C-section birth. Key conclusions and implicationsThe rising rate of C-section delivery over time is alarming for Bangladesh to achieve the World Health Organization target of 10–15 %. The joint model reveals that the rising rate of C-sections may be correlated with the choice of a private health facility as the delivery place. The study findings also suggest that maternal childbirth care is private-dominant and predominantly utilized by urban women with better education and higher socio-economic status. The policy should focus on strengthening the public health sector while also keeping importance in increasing coverage of maternal care services among the less well-off.